VLK generates large-scale synthetic data for humanoid loco-manipulation without teleoperation

pabbeel · x · 2026-11-11

Presented at CoRL 2026 (poster #189), VLK is a method for scaling up humanoid robot learning: it generates large-scale synthetic data with paired egocentric observations, text, and full-body G1 kinematics for learning loco-manipulation — no teleoperation required.

Original post →

More from Embodied

Embodied channel →